For the similarity measure \(\mathcal {M}_{\text{sim}}\) , we adopt sentence embedding from different methods [1]}, [2]}. The similarity is calculated by the cosine distance between two normalized sentence embedding. An empirical threshold 0.5 is adopted for dropping the protocol phrases without good matched text span. We then match the protocol phrases back to the nearest text span in the transcript.
